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enrolled in a Masters or PhD programme in the School of Environment or the Department of Mathematics. Business School A $5,000 Scholarship to support an international or domestic student enrolled in
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master’s, PhD, or MD/PhD program in computer science, data science, biomedical informatics, engineering, biostatistics, or a related field Experience with Python and machine learning methods Interest in AI
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of Philosophy (PhD) or Professional Doctorate program being applied for, or be currently enrolled in a Research Masters, PhD or Professional Doctorate program propose a research project that aligns with a
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Your Job: At the Institute for Advanced Simulation – Data Analytics and Machine Learning (IAS-8) we are looking for a PhD student in machine learning to work within a project linked to the
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Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 24 Apr 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer
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9 Jan 2026 Job Information Organisation/Company Academic Europe Research Field Engineering » Other Chemistry » Other Physics » Other Researcher Profile First Stage Researcher (R1) Positions PhD
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Your Job: This PhD project develops a Bayesian inference framework for hybrid model- and data-driven modeling of metabolism, with a particular focus on handling model misspecification. By combining
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of powerful computing tools, and innovation in quantitative and qualitative research methods are opening a new frontier for social scientists to explore bold, inventive research questions. In this era
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Posting Information Posting Information Department Physics and Astronomy - 319000 Posting Open Date 04/02/2026 Application Deadline 05/15/2026 Open Until Filled No Position Type Permanent Faculty
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of powerful computing tools, and innovation in quantitative and qualitative research methods are opening a new frontier for social scientists to explore bold, inventive research questions. In this era